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Open nowPosted 4 hours agoWe saw it 108 min after it went up

Software Engineer

Microsoft647 open roles

Where
Redmond, WA, United States
Work mode
On site
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Your applicationOpen nowSoftware EngineerMicrosoft · Redmond, WA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Microsoft's own form.

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The clock on this job

Early applications get read.

8.4% of postings close within 7 days. Measured by our own scanner across the market. Microsoft postings stay open a median of 18 days.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.4%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 4 hours ago

Microsoft median: 18 days open

The posting

Overview

Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a strong sense of ownership to your work?

The Finance Data & Experiences (FD&E) organization is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business — and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in fast-paced, cross-functional environments, bring fresh thinking to complex problems, and be eager to learn to take ownership of end-to-end processes and outcomes. Join us and be part of a team that’s pushing the boundaries of innovation, taking risks, and implementing AI to drive business excellence

At FD&E, we foster a culture of customer centricity, innovation, agility, and transparency — and we’re building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence.

Responsibilities

As a Software Engineer, you will use appropriate artificial intelligence tools and practices across the software development lifecycle with guidance from experienced engineers. You will work with internal stakeholders to understand customer and user requirements for well-defined features. You will contribute to test strategies, write testable code, and participate in automation for reliable production deployment. You will apply coding patterns, security, privacy, and compliance practices in code reviews and learn to operate your solutions in production.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

  • Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Take responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.
  • Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services.
  • Strong foundation of Data Structures, algorithms and Programming capabilities that can be applied to solve complex problems thereby helping with the building of solutions with strong foundations and high-quality delivery.
  • Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.
  • Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end to end through design, implementation, and operations.
  • Implement robust monitoring, logging, and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions.
  • Support and influence the team culture, customer-centricity, and continuous improvement.
  • Provide technical feedback to our product engineering partners to evolve and mature our AI, Azure services and Power Platform.
  • Collaborate cross functionally across stakeholders, product managers and other engineers to deliver integrated, customer-focused experiences.
  • Leverage AI to auto-generate boilerplate code for data pipelines, SQL transformations, and Spark jobs, significantly reducing development time for repetitive tasks.
  • Use AI to enforce consistent coding patterns across ETL scripts and data model definitions, improving maintainability and reducing review cycles.
  • Utilize AI to quickly prototype new data engineering solutions including partitioning strategies, and schema evolution logic, enabling faster experimentation and learning.
  • Employ AI to assist in writing docstrings, inline comments, and unit tests for data processing functions, improving code readability and test coverage.
  • Share GitHub Copilot-generated snippets and best practices with the team, fostering a culture of AI-assisted development and continuous improvement.

Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

  • 2+ years of strong programming skills in one or more languages: C#, Java, Python, JavaScript, C++.
  • Strong foundation in Sql, Data Structures and Object-Oriented Programming Skills.
  • Business fluency in English (read, write, speak).
  • Collaborative Innovation
  • Knowledge of others' expertise and the ability to involve multiple players (within and outside the org) in the creation or development of novel products, processes, or research streams.
  • Conflict Resolution
  • Experience with SQL Scripting, Fabric, SQL Server, and Azure cloud services
  • Demonstrated curiosity, collaboration, and willingness to learn from and contribute to the team.
  • Familiarity with AI/ML fundamentals, tools (like Azure ML, OpenAI), or data analytics workflows.
  • Understanding of version control systems (e.g., Git) and DevOps practices.
  • Curiosity, collaboration mindset, and a passion for solving real-world customer problems.
  • Demonstrated ability to lead through influence—coaching, mentoring, and empowering team members without direct reporting lines.

Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $85,400 - $168,100 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $111,100 - $183,700 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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